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Multi-Agent-Based Simulation XXIV 24th International Workshop, MABS 2023, London, UK, May 29 – June 2, 2023, Revised Selected Papers
This book constitutes the refereed Proceedings of the 24th International Workshop on Multi-Agent-Based Simulation XXIV, MABS 2023, held in London,...
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A two-sided sales promotions modeling based on agent-based simulation
The growing competition in the retail market pushes retailers to optimize their sales and marketing strategies. In particular, in sectors where the...
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Perception field based imitation learning for unlabeled multi-agent pathfinding
This paper proposes an imitation learning method to learn a universal agent policy for unlabeled multi-agent pathfinding (unlabeled MAPF) in grid...
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Controllability of game-based multi-agent system
We introduce a strategy matrix, a novel concept for ensuring controllability in game-based control systems (GBCSs). This graph-based condition is...
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EpiPredict: Agent-Based Modeling of Infectious Diseases
The COVID-19 pandemic highlighted the impact of emerging infectious diseases on various aspects of public life. Decision-makers in the public-health...
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Analyzing transportation mode interactions using agent-based models
Traffic in urban areas contributes significantly to congestion and air pollution, which contributes to climate change issues and causes economic...
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Conflict-based negotiation strategy for human-agent negotiation
Day by day, human-agent negotiation becomes more and more vital to reach a socially beneficial agreement when stakeholders need to make a joint...
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Probabilistic analysis of agent-based opinion formation models
When agent-based models are developed to capture opinion formation in large-scale populations, the opinion update equations often need to embed...
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Agent-Based Virtue Ethics
Agent-based virtue ethics has been around for a very long time, but its practitioners have typically been unaware of how this approach differs from...
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Temporal meta-optimiser based sensitivity analysis (TMSA) for agent-based models and applications in children’s services
With current and predicted economic pressures within English Children’s Services in the UK, there is a growing discourse around the development of...
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Agent-based cloud simulation model for resource management
Driven by the successful service model and growing demand, cloud computing has evolved from a moderate-sized data center consisting of homogeneous...
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Agent-Based Business Process Simulation A Primer with Applications and Examples
This book provides a conceptual clarification of the interconnections between agent-based modeling and business process management (BPM) and presents...
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Agent based modeling for intraday electricity markets
In recent years, the strong growth of renewable energy sources has led to considerable instability in the electricity markets. As a consequence, this...
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Multi-Agent-Based Simulation XXIII 23rd International Workshop, MABS 2022, Virtual Event, May 8–9, 2022, Revised Selected Papers
This book constitutes the thoroughly refereed and revised selected papers from the 22nd International Workshop on Multi-Agent-Based Simulation, MABS...
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Leader-Following Consensus of Multi-Agent Systems via Fully Distributed Event-Based Control
This paper aims to study the leader-following consensus of linear multi-agent systems on undirected graphs. Specifically, we construct an adaptive...
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Dynamic Event-triggered Distributed Observer Based Output Regulation of Heterogeneous Multi-agent Systems
In this paper, the output regulation problem for heterogeneous linear multi-agent systems is investigated, where each agent suffers from the...
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Multi-agent dynamic formation interception control based on rigid graph
In this study, dynamic formation tracking and interception are performed by controlling multi-agent using a Euler-like Lagrangian model. The purpose...
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Integrating reinforcement-learning-based vehicle dispatch algorithm into agent-based modeling of autonomous taxis
While increasing number of studies are using agent-based models to study the potential environmental, economic, and social impacts of shared...
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Better value estimation in Q-learning-based multi-agent reinforcement learning
In many real-life scenarios, multiple agents necessitate cooperation to accomplish tasks. Benefiting from the significant success of deep learning,...
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Agent-based simulations improve abundance estimation
Abundance is a fundamental characteristic of every biological population and is the focus of many research programs in ecology and conservation. In...
